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A model for estimating body shape biological age based on clinical parameters associated with body composition

BACKGROUND: To date, no studies have attempted to estimate body shape biological age using clinical parameters associated with body composition for the purposes of examining a person’s body shape based on their age. OBJECTIVE: We examined the relations between clinical parameters associated with bod...

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Autores principales: Bae, Chul-Young, Kang, Young Gon, Suh, Young-Sung, Han, Jee Hye, Kim, Sung-Soo, Shim, Kyung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534388/
https://www.ncbi.nlm.nih.gov/pubmed/23293513
http://dx.doi.org/10.2147/CIA.S38220
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author Bae, Chul-Young
Kang, Young Gon
Suh, Young-Sung
Han, Jee Hye
Kim, Sung-Soo
Shim, Kyung Won
author_facet Bae, Chul-Young
Kang, Young Gon
Suh, Young-Sung
Han, Jee Hye
Kim, Sung-Soo
Shim, Kyung Won
author_sort Bae, Chul-Young
collection PubMed
description BACKGROUND: To date, no studies have attempted to estimate body shape biological age using clinical parameters associated with body composition for the purposes of examining a person’s body shape based on their age. OBJECTIVE: We examined the relations between clinical parameters associated with body composition and chronological age, and proposed a model for estimating the body shape biological age. METHODS: The study was conducted in 243,778 subjects aged between 20 and 90 years who received a general medical checkup at health promotion centers at university and community hospitals in Korea from 2004 to 2011. RESULTS: In men, the clinical parameters with the highest correlation to age included the waist- to-hip ratio (r = 0.786, P < 0.001), hip circumference (r = −0.448, P < 0.001), and height (r = −0.377, P < 0.001). In women, the clinical parameters with the highest correlation to age include the waist-to-hip ratio (r = 0.859, P < 0.001), waist circumference (r = 0.580, P < 0.001), and hip circumference (r = 0.520, P < 0.001). To estimate the optimal body shape biological age based on clinical parameters associated with body composition, we performed a multiple regression analysis. In a model estimating the body shape biological age, the coefficient of determination (R(2)) was 0.71 in men and 0.76 in women. CONCLUSION: Our model for estimating body shape biological age might be a novel approach to variation in body shape that is due to aging. We assume that our estimation model would be used as an adjunctive measure in easily predicting differences in body shape with the use of clinical parameters that are commonly used to assess the status of obesity in a clinical setting.
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spelling pubmed-35343882013-01-04 A model for estimating body shape biological age based on clinical parameters associated with body composition Bae, Chul-Young Kang, Young Gon Suh, Young-Sung Han, Jee Hye Kim, Sung-Soo Shim, Kyung Won Clin Interv Aging Original Research BACKGROUND: To date, no studies have attempted to estimate body shape biological age using clinical parameters associated with body composition for the purposes of examining a person’s body shape based on their age. OBJECTIVE: We examined the relations between clinical parameters associated with body composition and chronological age, and proposed a model for estimating the body shape biological age. METHODS: The study was conducted in 243,778 subjects aged between 20 and 90 years who received a general medical checkup at health promotion centers at university and community hospitals in Korea from 2004 to 2011. RESULTS: In men, the clinical parameters with the highest correlation to age included the waist- to-hip ratio (r = 0.786, P < 0.001), hip circumference (r = −0.448, P < 0.001), and height (r = −0.377, P < 0.001). In women, the clinical parameters with the highest correlation to age include the waist-to-hip ratio (r = 0.859, P < 0.001), waist circumference (r = 0.580, P < 0.001), and hip circumference (r = 0.520, P < 0.001). To estimate the optimal body shape biological age based on clinical parameters associated with body composition, we performed a multiple regression analysis. In a model estimating the body shape biological age, the coefficient of determination (R(2)) was 0.71 in men and 0.76 in women. CONCLUSION: Our model for estimating body shape biological age might be a novel approach to variation in body shape that is due to aging. We assume that our estimation model would be used as an adjunctive measure in easily predicting differences in body shape with the use of clinical parameters that are commonly used to assess the status of obesity in a clinical setting. Dove Medical Press 2013 2012-12-28 /pmc/articles/PMC3534388/ /pubmed/23293513 http://dx.doi.org/10.2147/CIA.S38220 Text en © 2013 Bae et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Bae, Chul-Young
Kang, Young Gon
Suh, Young-Sung
Han, Jee Hye
Kim, Sung-Soo
Shim, Kyung Won
A model for estimating body shape biological age based on clinical parameters associated with body composition
title A model for estimating body shape biological age based on clinical parameters associated with body composition
title_full A model for estimating body shape biological age based on clinical parameters associated with body composition
title_fullStr A model for estimating body shape biological age based on clinical parameters associated with body composition
title_full_unstemmed A model for estimating body shape biological age based on clinical parameters associated with body composition
title_short A model for estimating body shape biological age based on clinical parameters associated with body composition
title_sort model for estimating body shape biological age based on clinical parameters associated with body composition
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534388/
https://www.ncbi.nlm.nih.gov/pubmed/23293513
http://dx.doi.org/10.2147/CIA.S38220
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